Velocity Tracking Control of Wheeled Mobile Robots by Iterative Learning Control
International Journal of Advanced Robotic Systems, 2016 This paper presents an iterative learning control (ILC) strategy to resolve the trajectory tracking problem of wheeled mobile robots (WMRs) based on dynamic model.
Xiaochun Lu, Juntao Fei
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Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices. [PDF]
Front Cardiovasc Med, 2022 Magkoutas K +3 more
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MathematicsComplex physical processes, which could evolve in both spatial and temporal dimensions and be represented by partial difference equations, could also operate in a repetitive mode with iterative learning methods as suitable control laws.
Tengfei Xiao
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Set-to-set iterative learning control
AutomaticaThis work introduces a novel set-to-set (STS) iterative learning control (ILC) framework which generalizes the ideas of point-to-point ILC (PTP ILC) and region-to-region (RTR ILC) techniques. The existing ILC frameworks are extended by tracking both sets and points at desired times within an iteration.
Reid D. Smith, Andrew G. Alleyne
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A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds. [PDF]
PLoS One, 2023 Riaz S, Qi R, Tutsoy O, Iqbal J.
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Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics. [PDF]
Front Robot AI, 2022 Meindl M, Lehmann D, Seel T.
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Batch-to-Batch Adaptive Iterative Learning Control-Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process. [PDF]
ACS Omega, 2022 Gupta N, De R, Kodamana H, Bhartiya S.
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The Driving Waveform Design Method of Power-Law Fluid Piezoelectric Printing Based on Iterative Learning Control. [PDF]
Sensors (Basel), 2022 Peng J +5 more
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Estimation-based iterative learning control.
, 2011 Denna avhandling behandlar reglering genom iterativ inlärning, ILC (från engelskans iterative learning control). Metoden har sitt ursprung i industrirobottillämpningar där en robot utför samma rörelse om och om igen. Ett sätt att kompensera för felen är genom en ILC-algoritm som beräknar en korrektionssignal, som läggs på systemet i nästa ...
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Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study. [PDF]
Bioengineering (Basel), 2022 Makowski NS +5 more
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